Marker Data Integration

Marker Data Integration is a methodological framework within the domain of marker conversion that systematically combines heterogeneous marker datasets across modalities, platforms, or biological contexts to enable consistent interpretation, alignment, and utilization of molecular or genetic markers in downstream analyses.

13

Publications

5.6K

Citations

126

Authors

51

Institutions

Publications per year

2017–2026

3

Authors

126

  1. LA
    Lukas A. Mueller

    Cornell University, United States

    2 publications · 599 citations

    2

    h-index

  2. AK
    Andrzej Kilian

    University of Canberra, Australia

    2 publications · 192 citations

    2

    h-index

  3. EV
    Eric van de Weg

    Wageningen University & Research, Netherlands

    2 publications · 78 citations

    2

    h-index

  4. RB
    Rex Bernardo

    University of Minnesota, United States

    2 publications · 70 citations

    2

    h-index

  5. PE
    P. E. Glaser

    Arthur D. Little (United States), United States

    1 publications · 135 citations

    1

    h-index

1–5 of 126

Venues

  1. Bioinformatics

    2 publications · 156 citations

    2

    h-index

  2. Crop Science

    2 publications · 91 citations

    2

    h-index

  3. Theoretical and Applied Genetics

    1 publications · 40 citations

    1

    h-index

  4. Journal of Bacteriology

    JB · 1 publications · 38 citations

    1

    h-index

  5. Molecular Breeding

    1 publications · 57 citations

    1

    h-index

1–5